Principal Applied Scientist

We are seeking a highly independent, senior-level Applied Scientist to lead research-driven initiatives focused on solving complex, novel problems through advanced modeling and optimization. This role is not traditional analytics or data engineering — it is centered on innovation, experimentation, and translating new ideas into functional solutions.

Key Responsibilities:
Lead end-to-end research initiatives, from ideation through prototyping and applied implementation
Develop and evaluate novel algorithms, optimization models, and mathematical approaches for complex systems
Operate autonomously to identify problems, propose solutions, and execute with minimal direction
Partner with software engineers to translate research outputs into scalable, production-ready solutions
Contribute to new concept development and innovation pipelines, not just incremental improvements
Communicate complex technical findings clearly to non-technical stakeholders and cross-functional teams

Team Structure & Environment:
Typically operates within a small, high-impact team model:
1 Applied Scientist (this role) leading research
Supported by 2–3 Software Engineers for build and execution
Fast-paced environment with rapid experimentation and iteration cycles
Streamlined interview process reflecting urgency and high-volume demand

What Success Looks Like:
• Independently drives high-impact research initiatives that lead to measurable improvements
• Translates new ideas into working solutions, not just theoretical outputs
• Acts as a thought partner and innovation driver within the team
• Enables faster movement from concept → prototype → usable solution

Pay Rate: $100/hr

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

7–12+ years of experience in applied science, R&D, or advanced modeling environments
Strong foundation in mathematics, optimization, statistics, and algorithm development
Background in a physical or engineering discipline (e.g., physics, engineering, meteorology, applied math)
Proven experience working on ambiguous, open-ended problems with minimal structure
Demonstrated ability to own research initiatives independently and drive outcomes
Proficiency in Python or similar languages, with strong understanding of modeling toolkits
Experience collaborating with engineering teams to operationalize models

Experience in high-impact R&D environments or innovation teams
Exposure to optimization in complex or real-time systems
Familiarity with AI-assisted development tools (e.g., coding copilots)
Experience working in Agile or iterative development environments

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.